Principal Engineer, Business Intelligence

JetBlue Airways Corporation•Salt Lake City, UT

5d•$97,386 - $170,000•Remote

About The Position

JetBlue Airways Corporation is seeking a Principal Engineer, Business Intelligence to lead the architecture, design, and implementation of scalable BI solutions. This role involves ensuring data integrity, accuracy, and security across all BI systems. The engineer will leverage expertise in Tableau, dbt, Snowflake, and Databricks, along with modern BI practices, to drive efficiency and innovation. Responsibilities include collaborating with analyst teams to develop critical dashboards, automate workflows, and optimize system performance. The position also requires collaborating with cross-functional teams and business leaders to understand requirements, redesign dashboards, and advocate for automation and standardization. Technical leadership in data integration, strategic architecture, and BI tools like Tableau, Spotfire, and Sigma is essential. The role involves designing data architectures using Big Data technologies, applying in-depth knowledge of data architecture principles, developing scalable data pipelines, optimizing BI solutions, and supporting data integration with various databases. Continuous integration/continuous deployment (CI/CD) pipelines, metadata management using Postman and REST methods, and implementing core Databricks components are key. Collaboration with product teams on Microsoft Fabric and leading POCs for BI systems, orchestrating data movement with Azure Data Factory (ADF) and Databricks, and developing BI email automation using Python are also part of the role. Ensuring data pipeline reliability with Monte Carlo, architecting Tableau Cloud governance, partnering with data science teams for AI/ML opportunities, embedding AI capabilities, and building custom GPTs are also expected. Other duties as assigned.

Requirements

Master’s degree (MBA accepted), or foreign equivalent degree, in Computer Science, Information Systems, Engineering, Cybersecurity or a related field and two (2) years of experience with Business Intelligence Engineering.
2 years of experience in Business Intelligence tools such as Spotfire, Tableau.
2 years of expertise in advanced Spotfire development leveraging data functions and integrate diverse data sources.
Any amount of experience building Spotfire dashboards using diverse data from Oracle, SQL, Informix, PostgreSQL, etc.
Any amount of experience with Iron Python scripting for data workflows and interactive dashboard solutions.
Any amount of hands-on experience in developing ETL data pipelines using Pentaho.
2 years of experience in Tableau development and performance optimization.
Demonstrated knowledge of front-end technologies like HTML, CSS, JavaScript to enhance BI dashboard integration and user experience.
Any amount of experience providing technical guidance to business users, stay updated with BI technologies, and integrate best practices.
Any amount of experience mentoring users and documenting BI tools and processes for effective business adoption.

Responsibilities

Lead the architecture, design, and implementation of scalable BI solutions that ensure data integrity, accuracy, and security across all BI systems.
Use expertise in Tableau, dbt, Snowflake, Databricks and modern BI practices to drive efficiency and innovation while collaborating with other analyst teams to develop business-critical dashboards, automate workflows, and optimize system performance.
Collaborates with cross-functional teams and business leaders to understand requirements, redesign mission-critical dashboards, optimize system performance, and advocate for automation and standardization.
Provide technical leadership in data integration, strategic architecture, and BI tools such as Tableau, Spotfire, and Sigma.
Design data architectures leveraging Big Data technologies like Snowflake, dbt, and Databricks to build scalable Tableau dashboards.
Apply in-depth knowledge of data architecture principles, including data modeling, extract/transform/load (ETL) processes, data governance, and quality controls, to ensure robust and compliant data systems.
Develop, maintain scalable data pipelines using Snowflake & DBT for efficient data processing.
Optimize BI solutions using Tableau, including advanced capabilities like APIs, repositories, and metadata collection.
Support data integration, modeling, and dashboard development using a variety of databases such as Oracle, SQL Server, BigQuery, and Web Data Connectors.
Implement continuous integration (CI)/continuous deployment (CD) pipelines to automate and scale data integration and deployment workflows.
Utilize Postman and REST methods to support BI metadata management & governance.
Implement core Databricks components (DataFrames, Datasets, Spark SQL, Delta Lake) to drive continuous improvement in BI workspace.
Collaborate with product teams to design data workflows using Microsoft Fabric (KQL databases, Azure Cosmos DB, Blob storage, one lake) & lead proof of concept’s (POCs) for BI systems.
Orchestrate data movement pipelines using Azure Data Factory (ADF) and Databricks for seamless data integration.
Develop BI email automation and data workflows using Python libraries (e.g., pandas, Plotly, NumPy, smtplib) for business process automation.
Ensure data pipeline reliability and quality using Monte Carlo for data monitoring and lineage.
Architect Tableau Cloud governance with RBAC and certified content, integrated with Snowflake and Databricks to eliminate redundancy.
Partner with data science teams to identify artificial intelligence (AI)/machine learning (ML) opportunities for predictive and prescriptive analytics.
Embed AI capabilities like natural language queries, automated insights, and intelligent classification into BI tools.
Build and deploy custom Generative Pre-training Transformers (GPTs) for business process automation and contextual analytics.
Other duties as assigned.